Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 101 to 200 (from 2,732) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 28  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 101  A*31-B*51-DRB1*04-DQB1*04  Mexico Oaxaca, Oaxaca city 0.9934151
 102  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Sinaloa, Culiacán 0.9709103
 103  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Tlaxcala Rural 0.9639830
 104  A*11:01-B*51:01-C*15:02-DRB1*04:04  Russia Bering Island Aleuts 0.9615104
 105  A*30:01-B*51:01-C*06:02-DRB1*04:02-DQA1*03:01-DQB1*02:02  United Arab Emirates Abu Dhabi 0.960052
 106  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Puebla Rural 0.9592833
 107  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Zacatecas, Fresnillo 0.9524103
 108  A*02-B*51-DRB1*04:04-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 0.940053
 109  A*11-B*51-C*14-DRB1*04  Myanmar Shan 0.926054
 110  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Chihuahua, Ciudad Juarez 0.9259106
 111  A*68-B*51-DRB1*04-DQB1*03:02  Mexico Chihuahua, Ciudad Juarez 0.9259106
 112  A*68:05-B*51:01:01-C*08:01:01-DRB1*04:07  Costa Rica Guanacaste Mestizo (G) 0.9091110
 113  A*11-B*51-C*15-DRB1*04  Myanmar Kayah 0.909055
 114  A*31-B*51-C*15-DRB1*04  Myanmar Chin 0.909055
 115  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Jalisco, Zapopan 0.8929168
 116  A*31:01-B*51:06-DRB1*04:01-DQB1*06:01  Iran Yazd 0.892956
 117  A*68:01-B*51:01-DRB1*04:01-DQB1*03:02  Iran Yazd 0.892956
 118  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Veracruz, Veracruz city 0.8721171
 119  A*02:02-B*51:06-DRB1*04:02  Israel YemenJews 0.871015,542
 120  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Michoacan Rural 0.8596348
 121  A*31-B*51-DRB1*04-DQB1*03:01  Mexico Chihuahua Chihuahua City 0.8403119
 122  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Chihuahua Chihuahua City 0.8403119
 123  A*31-B*51-DRB1*04-DQB1*04  Mexico Chihuahua Chihuahua City 0.8403119
 124  A*02-B*51-DRB1*04  Albania pop 2 0.8400432
 125  A*02:01-B*51:01-DRB1*04:01-DQB1*03:02  Iran Saqqez-Baneh Kurds 0.833360
 126  A*02:48-B*51:06-DRB1*04:01-DQB1*03:05  Iran Saqqez-Baneh Kurds 0.833360
 127  A*02-B*51-DRB1*04:07-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 128  A*02-B*51-DRB1*04-DQB1*03:01  Mexico Veracruz, Orizaba 0.833360
 129  A*03:01:01:01-B*51:01:01-C*16:02:01-DRB1*04:04:01-DQB1*03:02  Russia Bashkortostan, Bashkirs 0.8333120
 130  A*03:01-B*51:01-DRB1*04:15-DQB1*03:01  Iran Saqqez-Baneh Kurds 0.833360
 131  A*24-B*51-DRB1*04:03-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 132  A*31-B*51-DRB1*04:07-DQB1*03:01  Mexico Sinaloa Capomos Mayo Yoremes 0.833360
 133  A*24-B*51-DRB1*04-DQB1*03:02  Mexico Chiapas Rural 0.8264121
 134  A*68-B*51-DRB1*04-DQB1*03:02  Mexico Chiapas Rural 0.8264121
 135  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Oaxaca Rural 0.8214485
 136  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Sinaloa Rural 0.8197183
 137  A*68-B*51-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 0.819761
 138  A*02:01-B*51:01-C*14:02-DRB1*04:07-DQA1*03:02-DQB1*03:01  Kosovo 0.8060124
 139  A*24:02-B*51:01-C*01:02-DRB1*04:03-DQA1*03:01-DQB1*03:02  Kosovo 0.8060124
 140  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Veracruz, Xalapa 0.8021187
 141  A*11-B*51-DRB1*04  Iraq Erbil 0.8000372
 142  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Nuevo Leon Rural 0.7955439
 143  A*02-B*51-DRB1*04-DQB1*03:02  Guatemala, Guatemala City Mixed Ancestry 0.7900127
 144  A*02-B*51-DRB1*04  Brazil Para State 0.78145,000
 145  A*68-B*51-DRB1*04-DQB1*03:02  Mexico Nayarit Rural 0.781264
 146  A*24-B*51-C*03-DRB1*04  Myanmar Mon 0.781064
 147  A*24-B*51-C*14:02-DRB1*04-DQB1*03  Russia North Ossetian 0.7800127
 148  A*29:01-B*51:06-C*06:02-DRB1*04:01-DQB1*03:02  Iran Gorgan 0.780064
 149  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.77661,994
 150  A*01-B*51-DRB1*04  Iran pop 4 0.7703855
 151  A*01:01-B*51:01-DRB1*04:02-DQB1*03:02  Chile Mapuche 0.770066
 152  A*03:01-B*51:01-DRB1*04:02-DQB1*03:02  Chile Mapuche 0.770066
 153  A*68:01-B*51:01-DRB1*04:02-DQB1*03:02  Chile Mapuche 0.770066
 154  A*68:01-B*51:02-DRB1*04:03-DQB1*03:01  Chile Mapuche 0.770066
 155  A*24-B*51-DRB1*04-DQB1*03:02  Mexico Sonora Rural 0.7614197
 156  A*02-B*51-DRB1*04  Brazil Para Cord Blood Unit 0.7409841
 157  A*24-B*51-DRB1*04-DQB1*03:02  Mexico Michoacan Rural 0.7163348
 158  A*02-B*51-C*15-DRB1*04  Macedonia 0.6993286
 159  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Sonora, Ciudad Obregón 0.6993143
 160  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Sonora, Ciudad Obregón 0.6993143
 161  A*02:01:01-B*51:01:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 162  A*02-B*51-C*08-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 163  A*02-B*51-C*14-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 164  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Guerrero state 0.6944144
 165  A*24:02:01-B*51:01:01-C*08:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 166  A*24:02:01-B*51:01:01-C*15:02:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 167  A*68:03:01-B*51:01:01-C*15:02:01-DRB1*04:03:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 168  B*51-C*08-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 169  B*51-C*14-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 170  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Coahuila Rural 0.6881216
 171  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Nuevo Leon Rural 0.6818439
 172  A*32-B*51-C*15-DRB1*04-DQB1*03  Albania pop 2 0.6800432
 173  A*02:13-B*51:01-C*15:02-DRB1*04:04-DQB1*03:02  Colombia Bogotá Cord Blood 0.67411,463
 174  A*31:01-B*51:01-C*15:02-DRB1*04:04-DQA1*03:02-DQB1*03:01  Brazil Puyanawa 0.6667150
 175  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Mexico City Metropolitan Area Rural 0.6579150
 176  A*31-B*51-C*15-DRB1*04  Macedonia MBMDR - Macedonian Muslims 0.657976
 177  A*02:01-B*51:01-C*01:02-DRB1*04:02  Germany DKMS - Croatia minority 0.65602,057
 178  A*02:01:01-B*51:01:01-C*04:01:01-DRB1*04:02:01-DQA1*05:05:01-DQB1*03:02-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.6536153
 179  A*31-B*51-DRB1*04-DQB1*03:01  Mexico Mexico City Center 0.6494152
 180  A*24:17-B*51:06-DRB1*04:02  Israel YemenJews 0.647015,542
 181  A*01-B*51-DRB1*04-DQB1*03:02  Mexico Durango, Durango city 0.6452153
 182  A*02:01:01-B*51:01:01-C*15:09-DRB1*04:03:01  Nicaragua Mestizo (G) 0.6452155
 183  A*24-B*51-DRB1*04-DQB1*04  Mexico Guanajuato, Leon 0.641078
 184  B*51:01-C*15:09-DRB1*04:07-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.6400234
 185  A*02-B*51-DRB1*04-DQB1*03:02  Ecuador Coast Mixed Ancestry 0.6303238
 186  A*34:01-B*51:01-C*04:01-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP Filipino 0.629050,614
 187  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Chihuahua Rural 0.6276236
 188  A*68-B*51-DRB1*04-DQB1*03:02  Mexico Chihuahua Rural 0.6276236
 189  A*11-B*51-DRB1*04  India sub-Himalayan West Bengal Kami 0.6200158
 190  A*02-B*51-DRB1*04-DQB1*04  Mexico Hidalgo Rural 0.617381
 191  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Guanajuato Rural 0.6135162
 192  A*24-B*51-DRB1*04-DQB1*03:02  Mexico Durango Rural 0.6116326
 193  A*02-B*51-DRB1*04-DQB1*03:02  Mexico Tabasco, Villahermosa 0.609882
 194  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Tabasco, Villahermosa 0.609882
 195  A*68-B*51-DRB1*04-DQB1*03:02  Mexico Morelos, Cuernavaca 0.609882
 196  A*24-B*51-DRB1*04-DQB1*03:02  Ecuador Andes Mixed Ancestry 0.6068824
 197  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Puebla Rural 0.5995833
 198  A*31-B*51-DRB1*04-DQB1*03:02  Mexico Jalisco Rural 0.5973585
 199  A*02:01-B*51:01-DRB1*04:07-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 200  A*24-B*51-DRB1*04-DQB1*03:02  Mexico Zacatecas, Zacatecas city 0.595284

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
   Important: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).


Displaying 101 to 200 (from 2,732) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 28  


   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

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